| 1 | Venskus, Julius; Treigys, Povilas; Bernatavičienė, Jolita; Markevičiūtė, Jurgita. Detecting Maritime traffic anomalies with long-short term memory recurrent neural network // 11th international workshop on data analysis methods for software systems (DAMSS 2019), Druskininkai, Lithuania, November 28-30, 2019 / Lithuanian Computer Society, Vilnius University Institute of Data Science and Digital Technologies, Lithuanian Academy of Sciences. Vilnius : Vilnius University Press, 2019. ISBN 9786090703243. eISBN 9786090703250. p. 89. DOI: 10.15388/Proceedings.2019.8. |
| 2 | Venskus, Julius; Treigys, Povilas. Preparation of training data by filling in missing vessel type data using deep multi-stacked LSTM neural network for abnormal marine transport evaluation // ITISE 2019 : International Conference on Time Series and Forecasting : proceedings of abstracts. Granada, Spain, September, 25-27, 2019. Granada : Universidad de Granada, 2019. ISBN 9788417970796. p. 38. |
| 3 | Venskus, Julius; Treigys, Povilas. Meteorological data influence on missing Vessel type detection using deep Multi-Stacked LSTM neural network // Computer data analysis and modeling: stochastics and data science : proceedings of the XII international conference, Minsk, September 18-22, 2019. Minsk : Belarusian State University, 2019. ISBN 9789855668115. p. 307-310. Prieiga per internetą: <http://elib.bsu.by/handle/123456789/233315>. |
| 4 | Venskus, Julius; Treigys, Povilas; Bernatavičienė, Jolita; Tamulevičius, Gintautas; Medvedev, Viktor. Real-time maritime traffic anomaly detection based on sensors and history data embedding // Sensors. Basel : MDPI. ISSN 1424-8220. 2019, vol. 19, no. 17, art. no. 3782, p. 1-10. DOI: 10.3390/s19173782. |
| 5 | Venskus, Julius; Treigys, Povilas; Bernatavičienė, Jolita; Andziulis, Arūnas. Aspects of data collection for abnormal marine transport evaluation // DAMSS 2018 : 10th international workshop on "Data analysis methods for software systems", Druskininkai, Lithuania, November 29 - December 1, 2018 : [abstract book]. Vilnius : Vilniaus universitetas, 2018. ISBN 9786090700433. p. 88. Prieiga per internetą: <https://www.mii.lt/datamss/files/DAMSS_2018_1.pdf>. |
| 6 | Venskus, Julius; Treigys, Povilas; Bernatavičienė, Jolita; Medvedev, Viktor. Retraining strategies of modified SOM for abnormal marine traffic detection // 9th International workshop on Data Analysis Methods for Software Systems (DAMSS), Druskininkai, Lithuania, November 30 - December 2, 2017. Vilnius : VIlniaus universitetas, 2017. ISBN 9789986680642. p. 54. Prieiga per internetą: <https://www.mii.lt/datamss/files/liks_mii_drusk_2017.pdf>. |
| 7 | Venskus, Julius; Treigys, Povilas; Bernatavičienė, Jolita; Medvedev, Viktor; Voznak, Miroslav; Kurmis, Mindaugas; Bulbenkienė, Violeta. Integration of a self-organizing map and a virtual pheromone for real-time abnormal movement detection in marine traffic // Informatica. Vilnius : Vilniaus universiteto Matematikos ir informatikos institutas. ISSN 0868-4952. 2017, Vol. 28, No. 2, p. 359-374. Prieiga per internetą: <https://www.mii.lt/informatica/pdf/INFO1145.pdf>. |
| 8 | Venskus, Julius; Kurmis, Mindaugas; Treigys, Povilas. Modified SOM for abnormal marine traffic detection // Data analysis methods for software systems : 8th international workshop on data analysis methods for software systems, Druskininkai, December 1-3, 2016. Vilnius : Vilniaus universiteto leidykla, 2016. ISBN 9789986680611. p. 66-67. Prieiga per internetą: <https://www.mii.lt/datamss/files/liks_mii_drusk_2016_abstract_el_v_.pdf>. |